CN112017626A - Active noise reduction method for rail transit vehicle and cab - Google Patents
Active noise reduction method for rail transit vehicle and cab Download PDFInfo
- Publication number
- CN112017626A CN112017626A CN202010851986.9A CN202010851986A CN112017626A CN 112017626 A CN112017626 A CN 112017626A CN 202010851986 A CN202010851986 A CN 202010851986A CN 112017626 A CN112017626 A CN 112017626A
- Authority
- CN
- China
- Prior art keywords
- signal
- cab
- noise
- microphone
- noise reduction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61C—LOCOMOTIVES; MOTOR RAILCARS
- B61C17/00—Arrangement or disposition of parts; Details or accessories not otherwise provided for; Use of control gear and control systems
- B61C17/04—Arrangement or disposition of driving cabins, footplates or engine rooms; Ventilation thereof
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17813—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the acoustic paths, e.g. estimating, calibrating or testing of transfer functions or cross-terms
- G10K11/17815—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the acoustic paths, e.g. estimating, calibrating or testing of transfer functions or cross-terms between the reference signals and the error signals, i.e. primary path
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17821—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the input signals only
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17821—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the input signals only
- G10K11/17823—Reference signals, e.g. ambient acoustic environment
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17821—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the input signals only
- G10K11/17825—Error signals
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1785—Methods, e.g. algorithms; Devices
- G10K11/17857—Geometric disposition, e.g. placement of microphones
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1787—General system configurations
- G10K11/17879—General system configurations using both a reference signal and an error signal
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/10—Applications
- G10K2210/108—Communication systems, e.g. where useful sound is kept and noise is cancelled
- G10K2210/1082—Microphones, e.g. systems using "virtual" microphones
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/10—Applications
- G10K2210/128—Vehicles
- G10K2210/1283—Trains, trams or the like
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/30—Means
- G10K2210/301—Computational
- G10K2210/3025—Determination of spectrum characteristics, e.g. FFT
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/30—Means
- G10K2210/321—Physical
- G10K2210/3221—Headrests, seats or the like, for personal ANC systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/30—Means
- G10K2210/321—Physical
- G10K2210/3226—Sensor details, e.g. for producing a reference or error signal
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
Abstract
The invention discloses an active noise reduction method for rail transit vehicles and a cab, wherein accelerometers are arranged on structural noise transmission channels of the cab, and microphones are arranged on air noise transmission channels; a plurality of secondary sound sources are installed in the cab; and the accelerometer, the microphone and the secondary sound source are electrically connected with the active noise self-adaptive controller. The information fusion of the multiple reference sensors improves the comprehensiveness and accuracy of the reference signal source, the accuracy of the reference signal effectively improves the noise reduction amount of the target noise reduction area, and the method has better noise reduction experience and engineering practicability.
Description
Technical Field
The invention relates to the field of rail transit, in particular to an active noise reduction method for rail transit vehicles and a cab.
Background
With the higher and higher requirements of people on the riding comfort of the rail vehicles, the higher the requirements of drivers and passengers on the noise in the vehicles are. Because the driver needs to drive for a long time, when the driver's cab has high noise, the driver is easy to have driving fatigue and even hearing loss. At present, passive sound insulation and sealing noise reduction are mostly adopted in a noise reduction method of a cab, but the method has no effect on low-frequency noise. The appearance of the active noise control technology provides a feasible method for low-frequency noise reduction of a cab, but due to the fact that the line environment is complex and changeable, accurate reference signals are difficult to obtain, and therefore the active noise reduction control effect is poor. In addition, the installation of the error sensor and the secondary sound source makes the seat structure complex and inconvenient for engineering application.
Disclosure of Invention
The invention aims to solve the technical problem that aiming at the defects of the prior art, the invention provides an active noise reduction method and a cab of a rail transit vehicle, which can obtain accurate reference signals and improve the control effect of active noise reduction.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: an active noise reduction method for a rail transit vehicle comprises the following steps:
1) acquiring noise reference signals of noise transmission channels of a cab, calculating to obtain frequency domain signals of the noise reference signals, and acquiring frequency spectrum amplitude curves of the noise reference signals by using the frequency domain signals; the noise reference signal comprises a structure noise reference signal and an air noise reference signal;
2) under different train running speed grades, acquiring a weighting coefficient of the noise reference signal according to the correlation between the noise reference signal and an air noise monitoring signal near the ear position of a driver;
3) according to the train speed, selecting a weighting coefficient of the noise reference signal under the corresponding speed grade, and performing weighting fusion calculation on the frequency spectrum amplitude curve of each noise reference signal to obtain a frequency spectrum amplitude curve of the comprehensive reference signal; acquiring a noise error signal of each virtual error microphone of a cab, calculating to obtain a frequency domain signal of the noise virtual error signal, and acquiring a frequency spectrum amplitude curve of each noise virtual error signal by using the frequency domain signal;
4) and generating a secondary sound source control signal according to the frequency spectrum amplitude curve of the comprehensive reference signal and the frequency spectrum amplitude curve of the virtual error signal, carrying out self-adaptive adjustment on the secondary sound source control signal to obtain the adjustment quantity of the amplitude and the adjustment quantity of the phase of each loudspeaker signal in the cab, and adjusting the amplitude and the phase of each loudspeaker signal according to the adjustment quantity of the amplitude and the adjustment quantity of the phase of each loudspeaker signal.
The cab noise reference signal and the air noise reference signal are obtained, the reference signal covers the noise signals of all frequency bands, and the comprehensiveness and the accuracy of the reference signal source are improved; the spectrum amplitude curve of each noise reference signal is weighted and fused, so that the accurate spectrum amplitude curve of the comprehensive reference signal can be obtained, and the adjustment quantity is obtained by utilizing the secondary sound source control signal, therefore, the method can accurately calculate the noise reduction quantity (namely the adjustment quantity of the amplitude and the adjustment quantity of the phase of each secondary sound source signal), and greatly improves the noise reduction control effect.
In the step 1), the structural noise reference signal is an accelerometer signal; the air noise reference signal is a microphone signal; the accelerometer signal is acquired by a reference accelerometer arranged on a cab structure noise transmission channel (namely a structure noise transmission path); the microphone signal is acquired by a reference microphone installed on the cab air noise transmission passage (i.e., the air noise transfer path). The comprehensiveness and accuracy of the reference signal source are improved by information fusion of multiple reference sensors.
In step 1), the process of acquiring the spectrum amplitude curve of each noise reference signal includes: and performing fast Fourier transform on each noise reference signal to obtain a frequency domain signal, and taking one third of octave and A weight to obtain a frequency spectrum amplitude curve. The calculation process greatly improves the calculation speed, meanwhile, one third of octave can ensure the calculation precision, and A weighting ensures the correlation between the reference signal and the sensitivity of human ears to acoustic signals.
In the step 2), the air noise monitoring signal near the position of the ear of the driver is acquired by a microphone arranged near the position of the ear of the driver, and the position of the ear of the driver is acquired by a position tracking sensor which is arranged in the middle of the position of the front window of the driver and is used for tracking the position of the head of the driver. The position tracking sensor may be a camera, an infrared camera, or the like.
In the step 4), the sound signal of the virtual error microphone is used for carrying out self-adaptive adjustment on the secondary sound source control signal; the sound signals of the virtual error microphone are acquired by a plurality of microphones arranged on the ceiling or the side wall of the cab or by a physical error microphone arranged on the seat of the cab, the physical error microphone is directly arranged on the seat of the cab, a plurality of microphones are omitted, a transfer function between the microphone and the virtual microphone does not need to be established in advance, and a position tracking sensor is not needed.
In step 4), the specific implementation process of adaptively adjusting the secondary sound source control signal includes: and taking the sound signal of the virtual error microphone and the secondary sound source control signal as the input of the active noise reduction method, iteratively adjusting the calculation step length and the calculation order, finishing the self-adaptive adjustment when the active noise reduction method is converged, and outputting the adjustment quantity of the amplitude and the adjustment quantity of the phase of each loudspeaker signal. The adjusting process is simple, easy to realize and accurate in adjusting structure.
The loudspeaker is arranged in a region with sound pressure above 68dB (A) in a cab, and can stimulate the modal response of a cab cavity, so that the noise amplitude of a target region (the position of an ear region of a driver) at a typical frequency is effectively reduced.
As an inventive concept, the invention also provides a rail transit vehicle cab, wherein each structural noise transmission channel of the cab is provided with an accelerometer, and each air noise transmission channel is provided with a microphone; a plurality of secondary sound sources are installed in the cab; and the accelerometer, the microphone and the secondary sound source are electrically connected with the active noise self-adaptive controller. Various reference sensors are installed in the cab, and noise signals of various frequency bands can be accurately acquired.
The secondary sound sources are respectively arranged on the ceiling and the side walls in the cab; or the plurality of secondary sound sources are mounted on a seat in the cab. A plurality of remote error microphones are mounted on the ceiling or the side wall of the cab; or a physical error microphone is mounted on the cab seat. And a position tracking sensor for tracking the position of the head of the driver is arranged in the middle of the position of the front window of the driver cab.
Compared with the prior art, the invention has the beneficial effects that:
1. the information fusion of the multiple reference sensors improves the comprehensiveness and accuracy of the reference signal source, the accuracy of the reference signal effectively improves the noise reduction amount of the target noise reduction area, and the method has better noise reduction experience and engineering practicability.
2. The virtual error microphone technology reduces the complexity of a driver seat, and improves the adjustment operability and the convenience of use of a driver.
Drawings
Fig. 1 is a schematic diagram of an active noise reduction device of a railway vehicle cab adopting multi-reference sensor information fusion and a mobile virtual error microphone technology according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an active noise reduction device of a rail vehicle cab according to an embodiment of the present invention, which employs multi-reference sensor information fusion and virtual error microphone technology;
fig. 3 is a schematic diagram of an active noise reduction device of a rail vehicle cab employing multi-reference sensor information fusion and far-field speaker zone control techniques in accordance with an embodiment of the present invention;
fig. 4 is a schematic view of an active noise reduction device of a railway vehicle cab adopting a multi-reference sensor information fusion technology according to an embodiment of the invention.
Detailed Description
In the invention, the structural noise refers to noise generated by metal vibration, the frequency is generally below 400hz, and the part of noise signals are acquired by an accelerometer. Air noise refers to noise caused by air borne sound, the frequency is generally above 400hz, and the part of noise signals is acquired by a microphone.
As shown in fig. 1, in embodiment 1 of the present invention, in view of the complexity and the omnidirectionality of noise sources in the cab of the rail vehicle, a reference accelerometer and a reference microphone are installed outside the cab, on a wall plate of an outer shell of the cab, between the wall plate of the outer shell of the cab and the interior, on a wall plate of the interior of the cab, and at an air supply duct opening of the air conditioner, and are used to obtain a reference acceleration signal and a reference microphone signal, and perform spectrum analysis and weighted information fusion on each reference signal to obtain an accurate comprehensive reference signal.
The mounting device of the reference sensor is as follows: the reference microphone is installed under the floor of the cab shell, the reference accelerometers are installed on the floor and the side wall of the inner surface of the cab shell, the microphone is installed between the floor of the cab shell and the floor installed in the cab, the reference accelerometers are installed on the inner surfaces of the floor installed in the cab, the side wall and the top cover, and the reference microphone is installed at the air outlet of the air conditioning air duct.
The spectral analysis of each reference signal refers to extracting spectral amplitude characteristic data of each reference signal, namely, performing Fast Fourier Transform (FFT) on a time domain acceleration reference signal and a time domain microphone reference signal in a segmentation or sampling period respectively to obtain a frequency domain signal, and taking one-third octave and A weighting (the A weighting sound level is the loudness of simulating pure sound of a human ear to a 40-square, and when the signal passes through, the low-frequency and middle-frequency (below 1000 Hz) of the signal are greatly attenuated) to obtain a spectral amplitude curve; the frequency spectrum amplitude curve is a curve formed by taking one third octave as an abscissa and taking a corresponding acceleration level amplitude curve or sound pressure level amplitude curve as an ordinate.
The weighted information fusion means that coherence coefficients of each reference signal of a cab and microphone signals at positions of ears of a driver are obtained in advance under different train running speed grades of a rail transit vehicle, namely, FFT (fast Fourier transform) is respectively carried out on a single reference signal and the microphone signals at the positions of the ears of the cab to obtain two frequency domain signals, coherence/correlation function analysis (such as in MATLAB) is carried out on the two frequency domain signals to obtain coherence/correlation coefficients, and after normalization processing (the correlation coefficients of each reference signal are summed, and then each correlation coefficient is used as a numerator to divide the sum value) to obtain the weighted coefficients of each reference signal.
In the active noise control process, train speed signals in a cab train control system are extracted, weighting coefficients of all reference signals under corresponding speed levels are selected, weighting calculation is carried out on the frequency spectrum amplitude curves of all the reference signals, and the frequency spectrum amplitude curves of the comprehensive reference signals are obtained (the frequency spectrum amplitude curve calculation process refers to the invention patent application with the publication number of CN 109405961A).
The Correlation coefficient (Correlation coefficient) is a statistical index reflecting the degree of closeness of the relationship between variables, and the value interval of the Correlation coefficient is between 1 and-1. 1 indicates that the two variables are completely linearly related, -1 indicates that the two variables are completely negatively related, and 0 indicates that the two variables are not related. The closer the data is to 0, the weaker the correlation is.
In view of the installation of the secondary sound source horn and the error microphone on the seat, the complexity of the seat is increased, the adjustment operation of the driver seat is inconvenient, and in order to adapt to the movement of the head of the driver and the change of the height of the driver, a movable virtual error microphone is adopted to acquire an error signal near the ear of the driver (at a position 0.1m away from the ear of the driver and at a height of 1.2m away from the floor).
The remote error microphone is arranged on the ceiling and the side wall of the cab, and the transfer function relation between the remote microphone and the left and right ear microphones of the artificial head of the driver seat in different position areas is obtained in advance in the cab environment, so that the acoustic signal of the mobile virtual error microphone is calculated by the acoustic signals of a plurality of remote microphones (see the research review of active noise reduction of the space near the human ear in the complex acoustic environment of No. 5 of the book 68 of physical science and newspapers).
The number of remote error microphones is determined based on the sound signal prediction accuracy and economy of the mobile virtual error microphone (the number of microphones used when the prediction accuracy meets the minimum control requirement, for example, the accuracy of predicting the sound signal of a position by using 5 remote microphones is higher than the accuracy of predicting 3 remote microphones but the economic cost of 5 remote microphones is higher, and when the prediction accuracy meets the minimum accuracy requirement by using 3 remote microphones, the cost of 3 remote microphones is considered to be low, so that 3 remote microphones can be used.
In practical applications, the driver head position is obtained by a human head position tracking sensor (i.e., a sensor for obtaining the driver head position, such as https:// base.
The position tracking sensor may also be a camera, an infrared camera, or the like.
The active noise adaptive controller adopts a multi-channel active feedforward system, generates a secondary sound source control signal according to a reference signal, performs adaptive adjustment control (according to real-time change of an external reference signal and a feedback signal (namely an error signal)) on the secondary sound source control signal according to a signal of a mobile virtual error sensor (in the research summary of active noise reduction of a space near human ears in a complex acoustic environment of the 5 th period of the 68 th period of the physical science and engineering), and adaptively changes an active noise reduction algorithm (in the 35 th period of the 18 th period of the science and engineering based on closed space low-frequency noise active control of the multi-channel system, or in the block diagram of the multi-channel adaptive Filter-X LMS algorithm, the Wangcun and the like), parameters comprise a calculation step length, an order and the like (when adaptive adjustment is performed, the secondary sound source also outputs a signal until convergence is stable, that is, when the error signal monitored by the error sensor is less than the limit value, the output value of the secondary sound source is not adjusted and the current output value is maintained, until the error signal exceeding the limit value is monitored by the error microphone due to the change of the external environment, the adaptive adjustment algorithm is started again to perform a new round of adjustment, thereby optimizing the convergence speed of the algorithm, obtaining the optimal and stable output signal of the secondary speaker, weakening the original sound field signal near the ear of the driver, achieving the purpose of reducing the original sound field, obtaining the output amplitude adjustment quantity and the phase adjustment quantity of each speaker signal, and making the value of the virtual error microphone in the target area gradually decrease through the cycle iteration (continuous several iteration calculations adopting periodic input and output under the external transient steady state condition, namely, stating that the control has converged) to make the monitoring value of the mobile virtual error microphone quickly converge to the target limit value (theoretically, the target limit is 0, but in practice it is impossible to cancel the noise to 0 due to interference and device limitations, and a smaller value is set as the convergence value of the algorithm control effect, e.g., 0.005, etc.).
The multichannel means that the number of secondary sound sources is plural. The secondary sound source is a speaker or horn. The number and the arrangement positions of the secondary sound sources are obtained through sound field simulation optimization calculation in advance, the typical frequency and the sound field distribution thereof are obtained through sound field modal simulation calculation, and the area with higher sound pressure (more than 68dB (A) of sound pressure range) is found for arranging the loudspeakers according to the sound field distribution condition of the typical frequency, so that the noise amplitude of the area at the frequency can be effectively reduced, and the test is used for verification. In the experiment, a loudspeaker is placed at the simulation position, the frequency noise is radiated, the noise reduction effect is verified, and the noise reduction amount is smaller than that of the position found by simulation optimization or not when the frequency noise is radiated at other positions in the experiment contrast research, so that the best noise reduction effect at the simulation position is verified.
In the active noise reduction device of the rail vehicle cab, an FPGA system is adopted for input and output of an active noise controller, and a DSP processor is adopted for a calculation core.
In embodiment 2 of the invention, as shown in fig. 2, the virtual error microphone adopts a non-mobile type, and a human head position tracking sensor is omitted.
In embodiment 3 of the invention, as shown in fig. 3, the remote error microphone is installed on the cab seat, and 1 error microphone can be used, so that the number of the remote error microphones is reduced, and the calculation accuracy of the virtual error microphone signal is improved. A human head position tracking sensor is not required.
In embodiment 4 of the present invention, as shown in fig. 4, a secondary sound source and error microphones (the number of the secondary sound sources and the number of the error microphones are 2) are installed on a driver seat, so that the calculation accuracy of virtual error microphone signals is improved, the transmission distance of the secondary sound source is reduced, and the frequency range and the control accuracy of the secondary sound source are improved. However, the secondary sound source is mounted on the seat, which increases the complexity of the seat and the size of the headrest of the seat, and the seat needs to be customized. The reference signal is acquired in the same manner as in embodiment 1.
Practice proves that the accuracy of the reference signal effectively improves the noise reduction amount of the target noise reduction area, and the method has better noise reduction experience and engineering practicability.
In the embodiment 5 of the invention, an accelerometer is arranged on each structural noise transmission channel of the rail transit vehicle cab, and a microphone is arranged on each air noise transmission channel; a plurality of secondary sound sources are installed in the cab; and the accelerometer, the microphone and the secondary sound source are electrically connected with the active noise self-adaptive controller.
Specifically, a reference microphone is installed under the floor of a cab shell, reference accelerometers are installed at the positions of the floor and the side wall of the inner surface of the cab shell, the microphone is installed between the floor of the cab shell and the floor of the interior (inner wall of a cab) of the cab, the reference accelerometers are installed on the inner surfaces of the floor, the side wall and a top cover of the interior of the cab, and the reference microphone is installed at an air outlet of an air conditioning duct.
As shown in fig. 1, 2 and 3, a plurality of secondary sound sources are respectively installed on the ceiling and the side walls of the cab, and a plurality of remote microphones are installed on the ceiling or the side walls of the cab; as shown in fig. 4, a plurality of secondary sound sources may also be mounted on the cab seat, with a physical error microphone mounted on the cab seat.
And a position tracking sensor for tracking the position of the head of the driver, such as a camera and the like, is arranged in the middle of the front window of the driver cab.
Claims (10)
1. An active noise reduction method for a rail transit vehicle is characterized by comprising the following steps:
1) acquiring noise reference signals of noise transmission channels of a cab, calculating to obtain frequency domain signals of the noise reference signals, and acquiring frequency spectrum amplitude curves of the noise reference signals by using the frequency domain signals; the noise reference signal comprises a structure noise reference signal and an air noise reference signal;
2) under different train running speed grades, acquiring a weighting coefficient of the noise reference signal according to the correlation between the noise reference signal and an air noise monitoring signal near the ear position of a driver;
3) according to the train speed, selecting a weighting coefficient of the noise reference signal under the corresponding speed grade, and performing weighting fusion calculation on the frequency spectrum amplitude curve of each noise reference signal to obtain a frequency spectrum amplitude curve of the comprehensive reference signal; acquiring a noise virtual error signal of each virtual error microphone of a cab, calculating to obtain a frequency domain signal of the noise virtual error signal, and acquiring a frequency spectrum amplitude curve of each noise virtual error signal by using the frequency domain signal;
4) and generating a secondary sound source control signal according to the frequency spectrum amplitude curve of the comprehensive reference signal and the frequency spectrum amplitude curve of the virtual error signal, carrying out self-adaptive adjustment on the secondary sound source control signal to obtain the adjustment quantity of the amplitude and the adjustment quantity of the phase of each loudspeaker signal in the cab, and adjusting the amplitude and the phase of each loudspeaker signal according to the adjustment quantity of the amplitude and the adjustment quantity of the phase of each loudspeaker signal.
2. The active noise reduction method for the rail transit vehicle according to claim 1, wherein in the step 1), the structural noise reference signal is an accelerometer signal; the air noise reference signal is a microphone signal; the accelerometer signal is acquired by a reference accelerometer arranged on a noise transmission channel of a cab structure; the microphone signal is acquired by a reference microphone mounted on the cab air noise transmission passage.
3. The active noise reduction method for the rail transit vehicle according to claim 1, wherein in the step 1), the obtaining process of the frequency spectrum amplitude curve of each noise reference signal comprises: and performing fast Fourier transform on each noise reference signal to obtain a frequency domain signal, and taking one third of octave and A weight to obtain a frequency spectrum amplitude curve.
4. The active noise reduction method for rail transit vehicles according to claim 1, wherein in step 2), the air noise monitoring signal near the position of the driver's ear is obtained by a microphone installed near the position of the driver's ear, and the position of the driver's ear is obtained by a position tracking sensor installed in the middle of the position of the driver's front window.
5. The active noise reduction method for rail transit vehicles according to claim 1, characterized in that in step 4), the secondary sound source control signal is adaptively adjusted by using the sound signal of a virtual error microphone; the acoustic signals of the virtual error microphone are acquired by a plurality of remote error microphones installed on the ceiling or the side wall of the cab, or acquired by error microphones installed on the seats of the cab.
6. The active noise reduction method for the rail transit vehicle according to claim 5, wherein the specific implementation process of the adaptive adjustment of the secondary sound source control signal comprises: taking the sound signal of the virtual error microphone and the secondary sound source control signal as the input of an active noise reduction method, adjusting the calculation step length and the calculation order, and finishing the self-adaptive adjustment when the virtual error signal is smaller than a set limit value, wherein the output of the adjustment quantity of the amplitude and the adjustment quantity of the phase of each loudspeaker signal is not changed any more; and when the virtual error signal exceeds the set limit value due to the change of the external environment, the active noise reduction method is started again, and the output signals of the loudspeakers are changed.
7. The active noise reduction method for the rail transit vehicle according to any one of claims 1 to 6, wherein the loudspeaker is installed in an area where sound pressure in a cab is above 68dB (A).
8. A rail transit vehicle cab is characterized in that a reference accelerometer is mounted on each structural noise transmission channel of the cab, and a reference microphone is mounted on each air noise transmission channel; a plurality of secondary sound sources are installed in the cab; a plurality of remote error microphones are mounted on the ceiling or the side wall of the cab; the reference accelerometer, the reference microphone, the secondary sound source and the remote error microphone are all electrically connected with the active noise adaptive controller.
9. The rail transit vehicle cab of claim 8, wherein the plurality of secondary sound sources are mounted on a ceiling and a sidewall of the cab, respectively; or the plurality of secondary sound sources are mounted on a seat in a cab; preferably, at least one remote error microphone is mounted on the cab seat.
10. The rail transit vehicle cab according to claim 8 or 9, wherein a position tracking sensor for tracking the position of a driver's head is installed in the middle of the position of a front window of the cab; preferably, a plurality of speakers are installed in a region where the cab sound pressure is 68db (a) or more.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010851986.9A CN112017626B (en) | 2020-08-21 | 2020-08-21 | Active noise reduction method for rail transit vehicle and cab |
| PCT/CN2021/105377 WO2022037308A1 (en) | 2020-08-21 | 2021-07-09 | Active noise reduction method for rail transit vehicle and cab |
| EP21857403.6A EP4202918A4 (en) | 2020-08-21 | 2021-07-09 | Active noise reduction method for rail transit vehicle and cab |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010851986.9A CN112017626B (en) | 2020-08-21 | 2020-08-21 | Active noise reduction method for rail transit vehicle and cab |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112017626A true CN112017626A (en) | 2020-12-01 |
| CN112017626B CN112017626B (en) | 2024-02-06 |
Family
ID=73505470
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010851986.9A Active CN112017626B (en) | 2020-08-21 | 2020-08-21 | Active noise reduction method for rail transit vehicle and cab |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4202918A4 (en) |
| CN (1) | CN112017626B (en) |
| WO (1) | WO2022037308A1 (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112652289A (en) * | 2020-12-11 | 2021-04-13 | 西安艾科特声学科技有限公司 | Fire fighting truck cab local space active noise control system and method |
| CN112771606A (en) * | 2020-12-31 | 2021-05-07 | 华为技术有限公司 | Automobile air conditioner noise control system and method and related vehicle-mounted equipment |
| WO2022037308A1 (en) * | 2020-08-21 | 2022-02-24 | 中车株洲电力机车有限公司 | Active noise reduction method for rail transit vehicle and cab |
| CN117520788A (en) * | 2024-01-05 | 2024-02-06 | 成都亚度克升科技有限公司 | Sound box parameter determining method and system based on artificial intelligence and big data analysis |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114743534A (en) * | 2022-03-09 | 2022-07-12 | 中科上声（苏州）电子有限公司 | Vehicle noise reduction method for broadband noise |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2692709A1 (en) * | 1992-06-18 | 1993-12-24 | Renault | Active control device for noise inside cabin of motor vehicle - uses target signal related to engine or road conditions and minimises received noise against target signal |
| US5325437A (en) * | 1991-12-27 | 1994-06-28 | Nissan Motor Co., Ltd. | Apparatus for reducing noise in space applicable to vehicle compartment |
| US5384853A (en) * | 1992-03-19 | 1995-01-24 | Nissan Motor Co., Ltd. | Active noise reduction apparatus |
| WO2017000814A1 (en) * | 2015-06-30 | 2017-01-05 | 芋头科技（杭州）有限公司 | Active noise control system |
| CN107274878A (en) * | 2017-06-28 | 2017-10-20 | 邢优胜 | A kind of Active noise control system in railcar train drivers' cab |
| CN107791970A (en) * | 2017-10-17 | 2018-03-13 | 长春工业大学 | Automobile active denoising method based on heuristic dynamic programming |
| CN108597489A (en) * | 2018-04-21 | 2018-09-28 | 中车青岛四方机车车辆股份有限公司 | A kind of bullet train car Active noise control system |
| CN108806664A (en) * | 2018-05-03 | 2018-11-13 | 清华大学苏州汽车研究院（相城） | A kind of Vehicle Interior Noise control method |
| CN108944749A (en) * | 2017-05-19 | 2018-12-07 | 比亚迪股份有限公司 | Vehicle denoising device and method |
| CN108956172A (en) * | 2018-05-23 | 2018-12-07 | 常州路航轨道交通科技有限公司 | High-speed train driving cabin local active noise reduction pilot system and method |
| JP2019082628A (en) * | 2017-10-31 | 2019-05-30 | パナソニックＩｐマネジメント株式会社 | Active noise reduction device, vehicle, and, abnormality determination method |
| CN209351388U (en) * | 2018-12-27 | 2019-09-06 | 西南交通大学 | A high-speed train noise reduction system based on plasma flow control |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5917919A (en) * | 1995-12-04 | 1999-06-29 | Rosenthal; Felix | Method and apparatus for multi-channel active control of noise or vibration or of multi-channel separation of a signal from a noisy environment |
| JP5439118B2 (en) * | 2008-11-14 | 2014-03-12 | パナソニック株式会社 | Noise control device |
| US8600069B2 (en) * | 2010-03-26 | 2013-12-03 | Ford Global Technologies, Llc | Multi-channel active noise control system with channel equalization |
| CN103175699B (en) * | 2011-12-23 | 2015-08-19 | 南车青岛四方机车车辆股份有限公司 | Rail vehicle noise transmission approach method of testing |
| KR101628119B1 (en) * | 2014-08-11 | 2016-06-08 | 현대자동차 주식회사 | System and method for noise control |
| CN107195294B (en) * | 2017-04-07 | 2020-07-21 | 吉利汽车研究院（宁波）有限公司 | Active noise reduction method and device for vehicle |
| CN107424596A (en) * | 2017-06-28 | 2017-12-01 | 邢优胜 | Noise initiative control method and system in a kind of car hold |
| CN107230473A (en) * | 2017-06-30 | 2017-10-03 | 邢优胜 | Noise initiative control method and system in a kind of submarine cabin |
| CN107218846A (en) * | 2017-06-30 | 2017-09-29 | 邢优胜 | A kind of driving of a tank room noise Active Control Method and system |
| US10339912B1 (en) * | 2018-03-08 | 2019-07-02 | Harman International Industries, Incorporated | Active noise cancellation system utilizing a diagonalization filter matrix |
| CN109405961A (en) | 2018-10-19 | 2019-03-01 | 中车株洲电力机车有限公司 | A kind of calculation method of floor of railway vehicle structure-borne sound, apparatus and system |
| US10741162B1 (en) * | 2019-07-02 | 2020-08-11 | Harman International Industries, Incorporated | Stored secondary path accuracy verification for vehicle-based active noise control systems |
| CN112017626B (en) * | 2020-08-21 | 2024-02-06 | 中车株洲电力机车有限公司 | Active noise reduction method for rail transit vehicle and cab |
-
2020
- 2020-08-21 CN CN202010851986.9A patent/CN112017626B/en active Active
-
2021
- 2021-07-09 WO PCT/CN2021/105377 patent/WO2022037308A1/en unknown
- 2021-07-09 EP EP21857403.6A patent/EP4202918A4/en not_active Withdrawn
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5325437A (en) * | 1991-12-27 | 1994-06-28 | Nissan Motor Co., Ltd. | Apparatus for reducing noise in space applicable to vehicle compartment |
| US5384853A (en) * | 1992-03-19 | 1995-01-24 | Nissan Motor Co., Ltd. | Active noise reduction apparatus |
| FR2692709A1 (en) * | 1992-06-18 | 1993-12-24 | Renault | Active control device for noise inside cabin of motor vehicle - uses target signal related to engine or road conditions and minimises received noise against target signal |
| WO2017000814A1 (en) * | 2015-06-30 | 2017-01-05 | 芋头科技（杭州）有限公司 | Active noise control system |
| CN108944749A (en) * | 2017-05-19 | 2018-12-07 | 比亚迪股份有限公司 | Vehicle denoising device and method |
| CN107274878A (en) * | 2017-06-28 | 2017-10-20 | 邢优胜 | A kind of Active noise control system in railcar train drivers' cab |
| CN107791970A (en) * | 2017-10-17 | 2018-03-13 | 长春工业大学 | Automobile active denoising method based on heuristic dynamic programming |
| JP2019082628A (en) * | 2017-10-31 | 2019-05-30 | パナソニックＩｐマネジメント株式会社 | Active noise reduction device, vehicle, and, abnormality determination method |
| CN108597489A (en) * | 2018-04-21 | 2018-09-28 | 中车青岛四方机车车辆股份有限公司 | A kind of bullet train car Active noise control system |
| CN108806664A (en) * | 2018-05-03 | 2018-11-13 | 清华大学苏州汽车研究院（相城） | A kind of Vehicle Interior Noise control method |
| CN108956172A (en) * | 2018-05-23 | 2018-12-07 | 常州路航轨道交通科技有限公司 | High-speed train driving cabin local active noise reduction pilot system and method |
| CN209351388U (en) * | 2018-12-27 | 2019-09-06 | 西南交通大学 | A high-speed train noise reduction system based on plasma flow control |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022037308A1 (en) * | 2020-08-21 | 2022-02-24 | 中车株洲电力机车有限公司 | Active noise reduction method for rail transit vehicle and cab |
| CN112652289A (en) * | 2020-12-11 | 2021-04-13 | 西安艾科特声学科技有限公司 | Fire fighting truck cab local space active noise control system and method |
| CN112771606A (en) * | 2020-12-31 | 2021-05-07 | 华为技术有限公司 | Automobile air conditioner noise control system and method and related vehicle-mounted equipment |
| CN117520788A (en) * | 2024-01-05 | 2024-02-06 | 成都亚度克升科技有限公司 | Sound box parameter determining method and system based on artificial intelligence and big data analysis |
| CN117520788B (en) * | 2024-01-05 | 2024-03-22 | 成都亚度克升科技有限公司 | Sound box parameter determining method and system based on artificial intelligence and big data analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022037308A1 (en) | 2022-02-24 |
| EP4202918A1 (en) | 2023-06-28 |
| EP4202918A4 (en) | 2024-02-14 |
| CN112017626B (en) | 2024-02-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112017626B (en) | Active noise reduction method for rail transit vehicle and cab | |
| US10013967B2 (en) | Method and system for selecting sensor locations on a vehicle for active road noise control | |
| JP6557465B2 (en) | Speech system including engine sound synthesizer | |
| CN101231846B (en) | Initiative noise control system and noise control method using sound wave interference mode | |
| CN107195294B (en) | Active noise reduction method and device for vehicle | |
| Wang et al. | An improved LMS algorithm for active sound-quality control of vehicle interior noise based on auditory masking effect | |
| CN109747575B (en) | Multi-mode in-vehicle sound quality optimization system based on order optimization | |
| CN113164102B (en) | Method, device and system for compensating hearing test | |
| US11718183B2 (en) | Method for controlling tone of electric vehicle based on motor vibration | |
| JP2021504768A (en) | Active noise control methods and systems | |
| CN113066468A (en) | Active noise interference elimination optimization device and method based on in-vehicle environment | |
| JP2021510848A (en) | Active noise control methods and systems involving variable actuators and sensors | |
| Chen et al. | A low-complexity multi-channel active noise control system using local secondary path estimation and clustered control strategy for vehicle interior engine noise | |
| Wang et al. | Hybrid vibro-acoustic active control method for vehicle interior sound quality under high-speed | |
| EP4224466A1 (en) | Road noise cancellation shaping filters | |
| JP5040163B2 (en) | Noise reduction apparatus and method | |
| CN117311406A (en) | Vibration active control method, test method, device, vehicle, equipment and medium based on feedback FXLMS algorithm | |
| Kim et al. | An experimental investigation of active control of road noise employing the weighted error signal to maximize the noise suppression performance at focused control positions | |
| CN211364436U (en) | A car audio and vehicle | |
| Cheng et al. | An optimal sensor layout method based on noise reduction estimation for active road noise control | |
| CN110751939B (en) | Regional personalized automobile active noise control system | |
| CN115817334B (en) | Method and system for intelligently controlling volume of prompt tone in automobile, electronic equipment and automobile | |
| Pi et al. | Experimental Performance Analysis of Multi-Channel Active Control System for Road Noise in Vehicles Using FXLMS Algorithm | |
| JP2010202081A (en) | Active vibration and noise control device | |
| CN111951776A (en) | A method and device for active noise control of train traction system based on fractional-order variable step size |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |